CARDS
CARDS is a state of the art computer system used by researchers at DIAGNOS to identify areas with a high statistical probability of containing a significant mineral deposit. The backbone of CARDS is the MCubiX-KE (Knowledge Extraction) data mining engine, developed in conjunction with researchers at Lyon University in France.
MCubiX-KE uses pattern recognition algorithms to learn the signatures of positive and negative data points and create a model that can make predictions on the positive or negative nature of new data points. CARDS uses these powerful algorithms to analyze digitally compiled historical exploration data and identify zones with a high potential for the discovery of mineral deposits.
Data is entered into CARDS in the form of a geo-referenced database. Each point in the database is linked to its own set of characteristics extracted from geological maps, geophysical survey, drill results, assays, etc.
These characteristics include:
- Lithology
- Alteration minerals
- Geophysics (Mag and EM)
- Chemical assay results
- Proximity to a felsic intrusive, etc.
CARDS combines different layers of data for mineral exploration.
The data is then divided into two databases:
- The first includes all points with known metal assay results (drill hole data) and is used to develop the model of the geological target you are seeking. For example, the model could be used to identify targets containing greater than 5g/t Au.
- The second database includes all points with no assay results.
The complex algorithms of MCubiX-KE are then used to identify those points that have a high similarity to the signatures of positive mineral deposits.
In addition, in the analysis of each point in the database, the characteristics of all points within a specified distance of the point or neighbourhood are weighed into the evaluation of that point. In this manner, points lacking data can still be highlighted by CARDS if the combination of their limited characteristics and their proximity to points with other significant characteristics is similar to that of points in the system with known positive results.
Furthermore, unlike the rule based computer models of the past, CARDS is not biased by the rules of any particular geologic model. In fact, because of CARDS ability to learn and make predictions based on the signatures of multiple positive data points of varying characteristics, CARDS can make predictions on any geological deposit type represented in the data set.
Note: Targets generated by CARDS should be evaluated in conjunction with all readily available geological data in the evaluation of the economic potential of the property as well as in the outlining of exploration and drill targets.
Personnel
DIAGNOS can count on a staff of 15 that includes a multidisciplinary team of professionals in:
- Data mining, Business Intelligence and Statistics,
- Mathematics and Artificial Intelligence,
- Information Technology Specialists,
- and Geology
Additional information in this section:
- CARDS
- Abitibi (Modelling and Predictions)
- Oil & Gas
- Internal projects
- Services (Geophysical services and general geological work)
- Customers
- DIAGNOS Properties
Contact us
For additional information on how CARDS can work for you, contact Mr Michel Fontaine at 450 678-8882 or toll free at 1 877 678-8882, ext. 222 or by Email at mfontaine@diagnos.com.
